Given patient choices and regional distinctions in disease patterns, demographics, and medical standards, the generalizability of HUE ethnic medicine conclusions to non-regional patients is scrutinized by considering clinical advantages, risk tolerance, and patient acceptance. To provide a clear pathway for the research and development of new ethnic medicines, the HUE research on ethnic medicine is undertaken with meticulous clarity.

Safety and effectiveness in medicine are contingent upon the quantity administered. The traditional Tibetan medical system's methods of measurement and their associated numerical values need thorough investigation. genetic assignment tests From the perspective of Tibetan medical literature, and through subsequent experimental validation, this study determined the standard references, their names, and conversion rates of traditional Tibetan medicinal measuring units. Reference samples, quantified repeatedly from extensive samples, offered clarification on the weight and volume of these basic units. A study was undertaken to ascertain the modern SI volume and weight unit equivalents for the traditional units used in Tibetan medicine, and the findings' accuracy, trustworthiness, and applicability were confirmed. The study's findings also included concrete proposals and reference values for defining the measurement standards of Tibetan medicinal weights and volumes. The processing, production, and clinical application of Tibetan medicine are significantly influenced by its importance in guiding standardization and development.

Widely respected in traditional Chinese medicine, Angong Niuhuang Pills, a classic formula, are esteemed as one of the “three treasures of febrile diseases,” showcasing significant efficacy in addressing a broad spectrum of diseases. Nonetheless, there is a shortage of bibliometric analysis in the study of the progress and developmental trajectory of Angong Niuhuang Pills. The search for research articles on Angong Niuhuang Pills, spanning the years 2000 to 2022, was conducted across both the Chinese National Knowledge Infrastructure (CNKI) and the Web of Science databases, encompassing publications from both Chinese and international sources. Visualizing the central themes of the research articles was achieved using CiteSpace 61. Moreover, an analysis of the research status of Angong Niuhuang Pills was performed using information extraction techniques to provide a comprehensive understanding of its research trends and key areas. Forty-six zero Chinese articles and forty-one English articles were selected for the analysis. The foremost research institutions responsible for the highest number of research articles in both Chinese and English publications are Beijing University of Chinese Medicine and Sun Yat-Sen University. Chinese articles, according to keyword analysis, centered on cerebral hemorrhage, stroke, neurological function, coma, cerebral infarction, craniocerebral injury, and their clinical relevance, in contrast to the English articles' focus on the mechanisms of cerebral ischemia, stroke, heavy metal toxicity, the blood-brain barrier, and oxidative stress. Stroke, oxidative stress, and the blood-brain barrier are projected to be significant focal points for future research endeavors. major hepatic resection The exploration into Angong Niuhuang Pills remains in its evolving phase. In-depth studies of the active components and mechanisms of Angong Niuhuang Pills, coupled with broad randomized controlled clinical trials, are indispensable for future development and application.

A comprehensive bibliometric study was undertaken to identify the pivotal areas of focus and emerging research boundaries in gut microbiota research involving traditional Chinese medicine (TCM), the goal being to offer fresh perspectives for future investigation in this domain. Databases including CNKI, Wanfang, VIP, and Web of Science (WoS) were used to locate studies combining gut microbiota research with traditional Chinese medicine (TCM), published between January 1, 2002, and December 31, 2021. Through the application of meticulous data screening and cleansing, CiteSpace 58.R3 was instrumental in illustrating and investigating the relationships between authors, journals, and significant keywords. This study drew upon a dataset comprising 1,119 Chinese articles and 815 English articles. The period from 2019 to 2021 experienced a considerable upswing in the volume of published articles, representing the peak research productivity in this field. TAN Zhou-jin and DUAN Jin-ao, respectively, authored the largest quantities of articles in Chinese and English. In this research area, two authors were prominent, achieving top rankings in both Chinese and English articles, playing a leading role. International research was greatly influenced by the leading five Chinese and English journals in this field. The concentrated research hotspots, as determined by high-frequency keywords and keyword clustering, are concentrated in four areas: clinical and experimental investigation of traditional Chinese medicine (TCM)'s influence on the regulation of gut microbiota in disease treatment, the metabolic transformation of TCM compounds by the gut microbiota, and the effect of incorporating TCM-enhanced feed on the growth performance of animals and their gut microbiota. Analyzing gut microbiota composition across various Traditional Chinese Medicine (TCM) syndromes, and examining the effectiveness of TCM combined with probiotic/flora transplantation methods for disease management, may unlock innovative diagnostic and therapeutic insights into traditional medicine. This area is ripe with research potential.

The process of atherosclerosis (AS) is initiated by compromised lipid metabolism, which precipitates lipid accumulation in the intima, followed by vascular fibrosis, calcification, and ultimately, the stiffening of the vascular wall. Hyperlipidemia (HLP) is a significant contributor to the risk of developing AS. Dovitinib concentration Based on the principle of nutrients returning to the heart and fat accumulating in the vessels, excessive fat's return to the heart within the circulatory system is considered a significant pathogenic factor contributing to AS. The fundamental pathological mechanisms underlying HLP and AS development include the progressive accumulation of fat in the vessels and the ensuing blood stasis. Furthermore, the progression of HLP to AS is characterized by the appearance of 'turbid phlegm and fat' and 'blood stasis' as associated pathological outcomes. Didang Decoction (DDD), a powerful formula, boasts the capacity to stimulate blood circulation, alleviate blood stasis, dispel turbidity, reduce lipids, and clear blood vessels, leading to regeneration and showing potential in treating atherosclerotic conditions. High-performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry (HPLC-Q-TOF-MS/MS) was employed to examine the significant blood components of DDD in this study. Network pharmacology was subsequently utilized to elucidate the potential targets and mechanisms of DDD's effects on AS and HLP. The subsequent in vitro experimentation validated the findings from network pharmacology. The DDD blood component study resulted in 231 total components, including 157 that exceeded a composite score of 60. A total of 903 predicted targets were generated by SwissTargetPrediction, alongside 279 disease targets from GeneCards, OMIM, and DisGeNET. An overlap analysis of these lists yielded 79 potential target genes for DDD in AS and HLP. The Gene Ontology (GO) analysis implied that DDD likely regulates biological processes including cholesterol metabolism and inflammatory responses, while Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis highlighted signaling pathways, such as lipid and atherosclerosis, insulin resistance, chemo-carcinogenesis receptor activation, and AGE-RAGE signaling, in diabetic complications. In vitro experiments on L02 cells demonstrated that DDD treatment diminished free fatty acid-stimulated lipid accumulation and cholesterol ester content, resulting in improvements in cellular function. This may be related to elevated expression of PPAR, LPL, PPARG, VEGFA, CETP, CYP1A1, and CYP3A4, along with decreased expression of TNF-alpha and IL-6. By modulating lipid metabolism and inflammatory responses, and concurrently suppressing apoptosis, DDD's multi-component, multi-target, multi-pathway approach may contribute to the prevention and treatment of AS and HLP.

This study employed transcriptomics and network pharmacology to investigate how artesunate combats bone destruction in a model of experimental rheumatoid arthritis (RA). To find differentially expressed genes (DEGs) pertinent to artesunate's inhibition of osteoclast differentiation, transcriptome sequencing data were subjected to detailed analysis. The plotting of volcano maps was accomplished using GraphPad Prism 8 software, and heat maps were subsequently generated using the bioinformatics website. Data on key targets implicated in bone destruction during RA was obtained through the combined utilization of GeneCards and OMIM. Artesunate's influence on osteoclast differentiation and bone destruction genes in rheumatoid arthritis (RA) was mapped using the Venny 21.0 platform. The intersecting genes, derived from the differentially expressed genes (DEGs), were further analyzed through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment In the concluding stages, the construction of the RANKL-induced osteoclast differentiation model and the collagen-induced arthritis (CIA) model was completed. Artesunate's influence on bone destruction in rheumatoid arthritis (RA), both pharmacologically and mechanistically, was evaluated using quantitative real-time polymerase chain reaction (q-PCR), immunofluorescence, and immunohistochemistry. An in vitro osteoclast differentiation model, stimulated by RANKL and treated with artesunate, was investigated. Analysis of transcriptome sequencing data uncovered 744 differentially expressed genes (DEGs) linked to artesunate's impact on the inhibition of osteoclast differentiation.